Importance of Contextualizing Data in Event Format for AI Development
Nowadays we talk a lot about the power of big data, AI/ML and data driven decisions. However, in most cases it turns out that either the data quality is too poor or the context of the data is missing. This results in high data washing costs or even failed projects. It is not only about cleaning and contextualizing data but also about doing it in a way that data become easy to use for the future. A good start is to focus on data quality and contextualization already at the stage of data capture. A great way to do this is through storing data as events.
Link to webinar
Join the Zoom webinar: https://gu-se.zoom.us/j/5929167010
About the Speaker
Mattias Larsson, Chief Product Officer at Maranics, has a long background within the maritime sector and been working with digitalization for the last eight years. Mattias has BSc in Shipping and Logistics and MSc studies in Marine Management from Chalmers University of Technology. Since then, he has worked at major shipping companies as well a starting up company within digitalization and working as advisor and in different projects towards major companies in the Maritime sector. Mattias has passion for humans in the world of data and to make data understandable.
About Ocean Data Factory (ODF) Sweden
The mission of ODF Sweden is to enable data-driven innovation by both commercial and non-commercial actors to ensure that the ocean and its resources are managed in the best possible and most sustainable way. ODF runs several in-house innovation projects, for example, the Koster Challenge, that combines citizen science with AI to explore Sweden’s marine biodiversity.